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Proceedings Paper

Particle-based track-before-detect in Rayleigh noise
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Paper Abstract

Track-before-detect (TBD) refers to a tracking scheme where detection of a target is not made by placing a threshold on the sensor data. Rather, the complete sensor data is used to detect and track a target in the absence of a data threshold. By using all of the sensor data a TBD algorithm can detect and track targets which have a lower signal power than could be detected by using a standard detection and tracking scheme. This paper presents an efficient particle filter TBD algorithm, which models the signal processing stages which may be found in a sensor such as radar. In this type of sensor the noise is modelled as the magnitude of a complex Gaussian process, which is Rayleigh distributed. This noise model and the model of the sensor signal processing is incorporated into the filter derivation. It is shown that in a simple simulation the algorithm can detect and track targets with a signal-to-noise ratio as low as 3dB.

Paper Details

Date Published: 25 August 2004
PDF: 11 pages
Proc. SPIE 5428, Signal and Data Processing of Small Targets 2004, (25 August 2004); doi: 10.1117/12.541275
Show Author Affiliations
Mark G. Rutten, Defence Science and Technology Organisation (Australia)
CSSIP, University of Melbourne (Australia)
Neil J. Gordon, Defence Science and Technology Organisation (Australia)
Simon Maskell, QinetiQ Ltd. (United Kingdom)


Published in SPIE Proceedings Vol. 5428:
Signal and Data Processing of Small Targets 2004
Oliver E. Drummond, Editor(s)

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